{"id":"W4242162962","doi":"10.1515/iupac.88.0527","title":"Avascularity","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000559922,0.0004080452,0.0005458047,0.00003516131,0.0003205863,0.0001267113,0.001059792,0.0002803098,0.01085614],"category_scores_gemma":[0.001067202,0.0003204762,0.0002733954,0.00005728774,0.0003975832,0.0001155683,0.0008204427,0.0006850566,0.00006151229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233425,"about_ca_system_score_gemma":0.00007396616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002395152,"about_ca_topic_score_gemma":0.001902779,"domain_scores_codex":[0.9973947,0.00005744581,0.000299099,0.0006326959,0.001130731,0.0004853648],"domain_scores_gemma":[0.9978077,0.00006844844,0.0002946909,0.001579393,0.00003680049,0.0002128992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001958793,0.0001933582,0.0001930552,0.00006180825,0.00004148151,0.0001171891,0.000003332692,0.00000901839,0.0000363015,3.832708e-7,0.9973554,0.001969109],"study_design_scores_gemma":[0.0004204577,0.00007007969,0.0005221402,0.0001115007,0.000109949,0.00001758705,0.000002795994,0.000009571383,0.00006909791,0.0001053685,0.9981393,0.0004221631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002254241,0.0002295691,0.000006119168,0.0002373831,0.0004265944,0.0002323058,0.9960178,0.00005131232,0.0005446853],"genre_scores_gemma":[0.00009378269,0.0004374367,0.0001128092,0.0001835665,0.0004183986,0.000009816004,0.998031,0.00002847783,0.0006847365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01079463,"threshold_uncertainty_score":0.9999247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249425229283757,"score_gpt":0.4565202662215373,"score_spread":0.4440260139286997,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}